Store Clustering

Store Clustering is an analytical method that partitions retail locations into groups based on shared characteristics such as demographics, sales performance, and geographic proximity to enable optimized decision-making in retail network planning.

52

Publications

1.8K

Citations

127

Authors

69

Institutions

Publications per year

2017–2026

20

Authors

127

  1. CC
    Caihui Cui

    Henan University, China

    2 publications · 62 citations

    2

    h-index

  2. YC
    Yen‐Liang Chen

    National Central University, Taiwan

    2 publications · 127 citations

    2

    h-index

  3. ZH
    Zhigang Han

    Henan University, China

    2 publications · 62 citations

    2

    h-index

  4. ZH
    Zhen He

    Virginia Tech, United States

    1 publications · 12 citations

    1

    h-index

  5. KB
    Klemens Böhm

    Karlsruhe Institute of Technology, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 127

Venues

  1. Procedia Computer Science

    2 publications · 24 citations

    2

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  2. The Professional Geographer

    2 publications · 80 citations

    2

    h-index

  3. Decision Support Systems

    2 publications · 127 citations

    2

    h-index

  4. Journal of Retailing and Consumer Services

    2 publications · 34 citations

    2

    h-index

  5. 2

    h-index

1–5